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Data Scientist

  • Remote
    • Krakow, Podlaskie, Poland
    • Krosno, Dolnośląskie, Poland
    • Lublin, Lubelskie, Poland
    • Poland, Mazowieckie, Poland
    • Poznan, Wielkopolskie, Poland
    • Warsaw, Warmińsko-Mazurskie, Poland
    +5 more
  • Data

Job description

At TechBiz Global, we provide recruitment services to top clients from our international portfolio. We are currently looking for a Senior Data Scientist with strong hands-on experience in training AI models, particularly Large Language Models (LLMs) and Small Language Models (SLMs), using GPU infrastructure and real-world datasets.

The ideal candidate should be based in Poland and able to clearly demonstrate their technical expertise, explain the tools and frameworks they use, and describe the complete model-training process—from data preparation to deployment and performance optimisation.

Key Responsibilities

  • Train, fine-tune, and optimise LLMs and SLMs using GPU infrastructure.

  • Build and manage end-to-end machine learning training pipelines.

  • Prepare, clean, structure, and process large volumes of real-world data.

  • Select appropriate models, frameworks, tools, and training approaches based on project requirements.

  • Apply techniques such as supervised fine-tuning, transfer learning, prompt tuning, and parameter-efficient fine-tuning.

  • Monitor model performance and improve accuracy, speed, scalability, and resource utilisation.

  • Work with structured, unstructured, time-series, telemetry, log, and streaming data.

  • Clearly document and explain the tools, methods, and technical decisions used throughout the model-training process.

  • Collaborate with engineering, data, and business teams to move models from experimentation into production.

  • Troubleshoot issues related to model quality, training stability, GPU performance, and data pipelines.

Job requirements

  • Proven professional experience as a Data Scientist, Machine Learning Engineer, AI Engineer, or similar role.

  • Strong hands-on experience training or fine-tuning LLMs and/or SLMs.

  • Practical experience using GPUs for AI model training.

  • Strong Python programming skills.

  • Experience with machine learning and deep-learning frameworks such as:

    • PyTorch

    • TensorFlow

    • Hugging Face Transformers

  • Experience with GPU-related technologies and environments, such as CUDA, distributed training, cloud GPU platforms, or GPU clusters.

  • Strong understanding of model-training workflows, including data preparation, tokenisation, model selection, training, evaluation, and optimisation.

  • Ability to clearly explain previous AI projects, tools used, technical challenges, and achieved results.

  • Experience working with large and complex datasets.

  • Good English communication skills.

  • Based in Poland.

Relevant Industry Experience

Experience in one or more of the following industries or data environments would be highly valuable:

  • E-commerce

  • Finance or banking

  • Insurance

  • Healthcare or medical data

  • Telemetry and IoT data

  • Application or system logs

  • Real-time and streaming data

  • High-volume enterprise data environments

Nice to Have

  • Experience with distributed model training.

  • Experience with LoRA, QLoRA, PEFT, quantisation, or model compression.

  • Experience with MLOps tools and model deployment.

  • Knowledge of Docker, Kubernetes, MLflow, or similar technologies.

  • Experience using AWS, Azure, or Google Cloud for AI workloads.

  • Experience deploying AI models into production environments.

  • Knowledge of data privacy, security, and governance requirements.

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